isect_segments-bentley_ottmann | BentleyOttmann sweep-line implementation

by ideasman42 Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | isect_segments-bentley_ottmann Summary

isect_segments-bentley_ottmann is a Python library. isect_segments-bentley_ottmann has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

BentleyOttmann sweep-line implementation (for finding all intersections in a set of line segments)

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isect_segments-bentley_ottmann has a low active ecosystem.

It has 78 star(s) with 36 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 9 open issues and 15 have been closed. On average issues are closed in 286 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of isect_segments-bentley_ottmann is current.

Quality

isect_segments-bentley_ottmann has 0 bugs and 0 code smells.

Security

isect_segments-bentley_ottmann has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

isect_segments-bentley_ottmann code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

isect_segments-bentley_ottmann is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

isect_segments-bentley_ottmann releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

isect_segments-bentley_ottmann saves you 3683 person hours of effort in developing the same functionality from scratch.

It has 7886 lines of code, 103 functions and 25 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed isect_segments-bentley_ottmann and discovered the below as its top functions. This is intended to give you an instant insight into isect_segments-bentley_ottmann implemented functionality, and help decide if they suit your requirements.

Removes a key from the tree
Free all properties
Check if a node is red
Joins the root of the root
Rotate a single node
Set default value for key
Get the value of a key
Remove the maximum item from the list
Return the maximum key value pair
Compares two lines
Return the intercept of the segment at x
Insert a key into the tree
Create a new node
Clears the tree
Remove an item from the tree
Return the value for the given key
Get the value associated with the given key

Get all kandi verified functions for this library.

isect_segments-bentley_ottmann Key Features

No Key Features are available at this moment for isect_segments-bentley_ottmann.

isect_segments-bentley_ottmann Examples and Code Snippets

No Code Snippets are available at this moment for isect_segments-bentley_ottmann.

Community Discussions

Trending Discussions on isect_segments-bentley_ottmann

Detecting tennis court lines intercepts

QUESTION

Detecting tennis court lines intercepts

Asked 2019-Apr-03 at 20:40

I am trying to improve my code to find the tennis court line intercepts so that I can find the boundaries of the different quadrants of the court.

Input image

Output Image

I achieved this by first finding the white pixels in the image, then applying canny edge detection with some preprocessing such as Gaussian blur. Then the canny edge output is dilated to help prepare it for hough lines detection.

Then taking the hough lines output I used the python implementation of the Bentley–Ottmann algorithm by github user ideasman42 to find the hough line intercepts.

This seems to work pretty well, but I'm struggling to tune my system to find the last 4 intercept points. If anyone could give me advice to improve or tune this implementation or even offer up some ideas for a better way to solve the problem of finding the court boundaries I would appreciate it.

...

ANSWER

Answered 2019-Apr-03 at 13:58

Here is my solution, using a different approach. I use the Harris corner detector to detect corners. The parameters were just tweaked in a hurry, so feel free to play with them. Here is a tutorial from OpenCV on it.

I use the OpenCV Wrapper library for some easier OpenCV code. It should be pretty easy to translate if you don't want it.

Source https://stackoverflow.com/questions/55496402

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install isect_segments-bentley_ottmann

You can download it from GitHub.
You can use isect_segments-bentley_ottmann like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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